Silvio Lattanzi

According to our database1, Silvio Lattanzi authored at least 100 papers between 2008 and 2024.

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Bibliography

2024
Fully Dynamic k-Center Clustering with Outliers.
Algorithmica, January, 2024

A Scalable Algorithm for Individually Fair K-means Clustering.
CoRR, 2024

2023
Massively Parallel Computation: Algorithms and Applications.
Found. Trends Optim., 2023

A quasi-polynomial time algorithm for Multi-Dimensional Scaling via LP hierarchies.
CoRR, 2023

Improved Differentially Private Densest Subgraph: Local and Purely Additive.
CoRR, 2023

Learning Hierarchical Cluster Structure of Graphs in Sublinear Time.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Fully Dynamic k-Clustering in Õ(k) Update Time.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Swap k-Means++.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Speeding Up Bellman Ford via Minimum Violation Permutations.
Proceedings of the International Conference on Machine Learning, 2023

Fully Dynamic Submodular Maximization over Matroids.
Proceedings of the International Conference on Machine Learning, 2023

2022
On Classification Thresholds for Graph Attention with Edge Features.
CoRR, 2022

Deletion Robust Non-Monotone Submodular Maximization over Matroids.
CoRR, 2022

TF-GNN: Graph Neural Networks in TensorFlow.
CoRR, 2022

Learning Hierarchical Structure of Clusterable Graphs.
CoRR, 2022

The Gibbs-Rand Model.
Proceedings of the PODS '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Near-Optimal Correlation Clustering with Privacy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient and Stable Fully Dynamic Facility Location.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Learning of Classifiers with Label and Seed Queries.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scalable Differentially Private Clustering via Hierarchically Separated Trees.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Deletion Robust Submodular Maximization over Matroids.
Proceedings of the International Conference on Machine Learning, 2022

Online and Consistent Correlation Clustering.
Proceedings of the International Conference on Machine Learning, 2022

Approximate Cluster Recovery from Noisy Labels.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
Twin Peaks, a Model for Recurring Cascades.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Spectral Clustering Oracles in Sublinear Time.
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Consistent k-Clustering for General Metrics.
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Secretaries with Advice.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Robust Online Correlation Clustering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient and Local Parallel Random Walks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Parallel and Efficient Hierarchical k-Median Clustering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Margin-Based Cluster Recovery with Oracle Queries.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Facility Location with Multiple Advice.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Correlation Clustering in Constant Many Parallel Rounds.
Proceedings of the 38th International Conference on Machine Learning, 2021

Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries.
Proceedings of the Conference on Learning Theory, 2021

2020
On Mean Estimation for Heteroscedastic Random Variables.
CoRR, 2020

InstantEmbedding: Efficient Local Node Representations.
CoRR, 2020

Online Scheduling via Learned Weights.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Fully Dynamic Algorithm for Constrained Submodular Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fast and Accurate $k$-means++ via Rejection Sampling.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sliding Window Algorithms for k-Clustering Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online MAP Inference of Determinantal Point Processes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Exact Recovery of Mangled Clusters with Same-Cluster Queries.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Introduction to the Special Issue for SPAA'17.
ACM Trans. Parallel Comput., 2019

MapReduce Meets Fine-Grained Complexity: MapReduce Algorithms for APSP, Matrix Multiplication, 3-SUM, and Beyond.
CoRR, 2019

Dynamic Algorithms for the Massively Parallel Computation Model.
Proceedings of the 31st ACM on Symposium on Parallelism in Algorithms and Architectures, 2019

Better Sliding Window Algorithms to Maximize Subadditive and Diversity Objectives.
Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2019

A Framework for Parallelizing Hierarchical Clustering Methods.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

A Better k-means++ Algorithm via Local Search.
Proceedings of the 36th International Conference on Machine Learning, 2019

Improved Parallel Algorithms for Density-Based Network Clustering.
Proceedings of the 36th International Conference on Machine Learning, 2019

Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity.
Proceedings of the 36th International Conference on Machine Learning, 2019

Residual Based Sampling for Online Low Rank Approximation.
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

Consistent Online Optimization: Convex and Submodular.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Matroids, Matchings, and Fairness.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Rumor Spreading and Conductance.
J. ACM, 2018

Mallows Models for Top-k Lists.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Non-Negative Sparse Regression and Column Subset Selection with L1 Error.
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

Parallel and Streaming Algorithms for K-Core Decomposition.
Proceedings of the 35th International Conference on Machine Learning, 2018

One-shot Coresets: The Case of k-Clustering.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
ASYMP: Fault-tolerant Mining of Massive Graphs.
CoRR, 2017

Submodular Optimization Over Sliding Windows.
Proceedings of the 26th International Conference on World Wide Web, 2017

Indexing Public-Private Graphs.
Proceedings of the 26th International Conference on World Wide Web, 2017

Fair Clustering Through Fairlets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Affinity Clustering: Hierarchical Clustering at Scale.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Ego-Splitting Framework: from Non-Overlapping to Overlapping Clusters.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Consistent k-Clustering.
Proceedings of the 34th International Conference on Machine Learning, 2017

Algorithms for $\ell_p$ Low-Rank Approximation.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Efficient computation of the Weighted Clustering Coefficient.
Internet Math., 2016

Linking Users Across Domains with Location Data: Theory and Validation.
Proceedings of the 25th International Conference on World Wide Web, 2016

On Sampling Nodes in a Network.
Proceedings of the 25th International Conference on World Wide Web, 2016

Expanders via Local Edge Flips.
Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016

Community Detection on Evolving Graphs.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Ego-net Community Mining Applied to Friend Suggestion.
Proc. VLDB Endow., 2015

Efficient Densest Subgraph Computation in Evolving Graphs.
Proceedings of the 24th International Conference on World Wide Web, 2015

The Power of Random Neighbors in Social Networks.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Distributed Graph Algorithmics: Theory and Practice.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Efficient Algorithms for Public-Private Social Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Robust Hierarchical k-Center Clustering.
Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015

On Learning Mixture Models for Permutations.
Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015

2014
An efficient reconciliation algorithm for social networks.
Proc. VLDB Endow., 2014

Communities, Random Walks, and Social Sybil Defense.
Internet Math., 2014

Reduce and aggregate: similarity ranking in multi-categorical bipartite graphs.
Proceedings of the 23rd International World Wide Web Conference, 2014

Learning Entangled Single-Sample Gaussians.
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

Filter & follow: how social media foster content curation.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

Distributed Balanced Clustering via Mapping Coresets.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Connected Components in MapReduce and Beyond.
Proceedings of the ACM Symposium on Cloud Computing, 2014

On Reconstructing a Hidden Permutation.
Proceedings of the Approximation, 2014

2013
Models for the Compressible Web.
SIAM J. Comput., 2013

Arrival and departure dynamics in social networks.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

SoK: The Evolution of Sybil Defense via Social Networks.
Proceedings of the 2013 IEEE Symposium on Security and Privacy, 2013

A Local Algorithm for Finding Well-Connected Clusters.
Proceedings of the 30th International Conference on Machine Learning, 2013

2011
Rumor spreading in social networks.
Theor. Comput. Sci., 2011

Milgram-routing in social networks.
Proceedings of the 20th International Conference on World Wide Web, 2011

An algorithmic treatment of strong queries.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Filtering: a method for solving graph problems in MapReduce.
Proceedings of the SPAA 2011: Proceedings of the 23rd Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2011

Hiring a secretary from a poset.
Proceedings of the Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), 2011

2010
Almost tight bounds for rumour spreading with conductance.
Proceedings of the 42nd ACM Symposium on Theory of Computing, 2010

Rumour Spreading and Graph Conductance.
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, 2010

2009
Affiliation networks.
Proceedings of the 41st Annual ACM Symposium on Theory of Computing, 2009

On compressing social networks.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
On placing skips optimally in expectation.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Gossiping (via mobile?) in social networks.
Proceedings of the DIALM-POMC Joint Workshop on Foundations of Mobile Computing, 2008


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